Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-03-20020708_161000_20020708_205500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/08 |
Start Time | | 2002/07/08 16:10 |
End Time | | 2002/07/08 20:53 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -31.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 135.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-03-20020708_161000_20020708_205500-constBx0 |
Minimum Dst Value | | -5 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |